Evaluating the Observed Log-Likelihood Function in Two-Level Structural Equation Modeling with Missing Data: From Formulas to R Code

Evaluating the Observed Log-Likelihood Function in Two-Level Structural Equation Modeling with Missing Data: From Formulas to R Code

This paper discusses maximum likelihood estimation for two-level structural equation models when data are missing at random at both levels. Building on existing literature, a computationally efficient expression is derived to evaluate the observed log-likelihood. Unlike previous work, the expression...

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Bibliographic Details
Main Author: Yves Rosseel
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Psych
Subjects:
structural equation modeling
multilevel
missing data
observed loglikelihood
R code
Online Access:https://www.mdpi.com/2624-8611/3/2/17

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